Summary of Agentboard: An Analytical Evaluation Board Of Multi-turn Llm Agents, by Chang Ma et al.
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agentsby Chang Ma, Junlei Zhang, Zhihao Zhu,…
Summary of Topology-aware Embedding Memory For Continual Learning on Expanding Networks, by Xikun Zhang et al.
Topology-aware Embedding Memory for Continual Learning on Expanding Networksby Xikun Zhang, Dongjin Song, Yixin Chen,…
Summary of Generative Design Of Crystal Structures by Point Cloud Representations and Diffusion Model, By Zhelin Li et al.
Generative Design of Crystal Structures by Point Cloud Representations and Diffusion Modelby Zhelin Li, Rami…
Summary of Self-improving Interference Management Based on Deep Learning with Uncertainty Quantification, by Hyun-suk Lee et al.
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantificationby Hyun-Suk Lee, Do-Yup Kim, Kyungsik…
Summary of Multitask Active Learning For Graph Anomaly Detection, by Wenjing Chang et al.
Multitask Active Learning for Graph Anomaly Detectionby Wenjing Chang, Kay Liu, Kaize Ding, Philip S.…
Summary of Amanet: Advancing Sar Ship Detection with Adaptive Multi-hierarchical Attention Network, by Xiaolin Ma et al.
AMANet: Advancing SAR Ship Detection with Adaptive Multi-Hierarchical Attention Networkby Xiaolin Ma, Junkai Cheng, Aihua…
Summary of Adcorda: Classifier Refinement Via Adversarial Correction and Domain Adaptation, by Lulan Shen et al.
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptationby Lulan Shen, Ali Edalati, Brett Meyer,…
Summary of On Principled Local Optimization Methods For Federated Learning, by Honglin Yuan
On Principled Local Optimization Methods for Federated Learningby Honglin YuanFirst submitted to arxiv on: 24…
Summary of Lpnl: Scalable Link Prediction with Large Language Models, by Baolong Bi et al.
LPNL: Scalable Link Prediction with Large Language Modelsby Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui…
Summary of From Random to Informed Data Selection: a Diversity-based Approach to Optimize Human Annotation and Few-shot Learning, by Alexandre Alcoforado et al.
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot…